Liu Wang

701 total citations
20 papers, 522 citations indexed

About

Liu Wang is a scholar working on Mechanics of Materials, Analytical Chemistry and Ocean Engineering. According to data from OpenAlex, Liu Wang has authored 20 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Mechanics of Materials, 9 papers in Analytical Chemistry and 5 papers in Ocean Engineering. Recurrent topics in Liu Wang's work include Hydrocarbon exploration and reservoir analysis (16 papers), Petroleum Processing and Analysis (9 papers) and Coal Properties and Utilization (5 papers). Liu Wang is often cited by papers focused on Hydrocarbon exploration and reservoir analysis (16 papers), Petroleum Processing and Analysis (9 papers) and Coal Properties and Utilization (5 papers). Liu Wang collaborates with scholars based in China, Germany and United States. Liu Wang's co-authors include Bo Liu, Longhui Bai, Shukui Li, Jinxu Liu, Xinbo Zhang, Shansi Tian, Mehdi Ostadhassan, Zhongliang Ma, Mohammad-Reza Mohammadi and Abdolhossein Hemmati‐Sarapardeh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Energy.

In The Last Decade

Liu Wang

20 papers receiving 514 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Liu Wang China 12 471 176 143 127 96 20 522
Shijia Chen China 9 339 0.7× 109 0.6× 55 0.4× 85 0.7× 67 0.7× 44 424
Jiaqi Chang China 13 383 0.8× 158 0.9× 183 1.3× 56 0.4× 56 0.6× 22 516
Wenyuan He China 14 420 0.9× 187 1.1× 179 1.3× 63 0.5× 84 0.9× 31 665
Jianming Li China 13 353 0.7× 152 0.9× 191 1.3× 81 0.6× 39 0.4× 37 609
Xudong Gao China 11 367 0.8× 212 1.2× 114 0.8× 44 0.3× 40 0.4× 23 497
R. Morga Poland 13 289 0.6× 109 0.6× 235 1.6× 64 0.5× 55 0.6× 30 534
Yunzhao Zhang China 14 340 0.7× 224 1.3× 180 1.3× 83 0.7× 11 0.1× 31 594
А. К. Головко Russia 13 347 0.7× 84 0.5× 137 1.0× 50 0.4× 360 3.8× 81 540
Lin Wei China 10 227 0.5× 79 0.4× 81 0.6× 26 0.2× 55 0.6× 23 375
Lin Wei China 7 297 0.6× 109 0.6× 169 1.2× 31 0.2× 83 0.9× 19 400

Countries citing papers authored by Liu Wang

Since Specialization
Citations

This map shows the geographic impact of Liu Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Liu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liu Wang more than expected).

Fields of papers citing papers by Liu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liu Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Liu Wang. The network helps show where Liu Wang may publish in the future.

Co-authorship network of co-authors of Liu Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Liu Wang. A scholar is included among the top collaborators of Liu Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Liu Wang. Liu Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Liu, et al.. (2024). Pore evolution modeling in natural lacustrine shale influenced by mineral composition: Implications for shale oil exploration and CO2 storage. ADVANCES IN GEO-ENERGY RESEARCH. 13(3). 218–230. 11 indexed citations
2.
Wang, Liu, Bo Liu, Longhui Bai, et al.. (2024). Differential mineral diagenetic evolution of lacustrine shale: Implications for CO2 storage. International Journal of Coal Geology. 295. 104629–104629. 5 indexed citations
3.
Bai, Longhui, Bo Liu, Xiaofei Fu, et al.. (2023). A new method for evaluating the oil mobility based on the relationship between pore structure and state of oil. Geoscience Frontiers. 14(6). 101684–101684. 23 indexed citations
4.
Gao, Yifei, Bo Liu, Xiaofei Fu, et al.. (2023). Nanomechanical and chemical variations of inertinite and vitrinite within lacustrine shale during oil generation. Marine and Petroleum Geology. 154. 106318–106318. 11 indexed citations
5.
Liu, Bo, Mohammad-Reza Mohammadi, Zhongliang Ma, et al.. (2023). Evolution of porosity in kerogen type I during hydrous and anhydrous pyrolysis: Experimental study, mechanistic understanding, and model development. Fuel. 338. 127149–127149. 71 indexed citations
6.
Liu, Bo, Mohammad-Reza Mohammadi, Zhongliang Ma, et al.. (2023). Experimental investigation and intelligent modeling of pore structure changes in type III kerogen-rich shale artificially matured by hydrous and anhydrous pyrolysis. Energy. 282. 128799–128799. 26 indexed citations
7.
Safaei-Farouji, Majid, Thomas Gentzis, Bo Liu, et al.. (2023). The role of water in the laboratory thermal advancement of immature type I kerogen from the Cretaceous Qingshankou Formation in China. Scientific Reports. 13(1). 10815–10815. 2 indexed citations
8.
9.
10.
Safaei-Farouji, Majid, et al.. (2023). Simulation of Thermal Maturity in Kerogen Type II Using Hydrous and Anhydrous Pyrolysis: A Case Study from the Bakken Shale, United States. Energy & Fuels. 37(24). 19602–19620. 3 indexed citations
11.
Liu, Bo, Mohammad-Reza Mohammadi, Zhongliang Ma, et al.. (2023). Pore structure evolution of Qingshankou shale (kerogen type I) during artificial maturation via hydrous and anhydrous pyrolysis: Experimental study and intelligent modeling. Energy. 282. 128359–128359. 22 indexed citations
12.
Liu, Bo, Mohammad-Reza Mohammadi, Zhongliang Ma, et al.. (2023). Pore structure characterization of solvent extracted shale containing kerogen type III during artificial maturation: Experiments and tree-based machine learning modeling. Energy. 283. 128885–128885. 10 indexed citations
13.
Liu, Bo, et al.. (2022). Geochemical characteristics and mechanisms of densification of pre-Jurassic crude oil in the Tainan Sag, Turpan-Hami Basin, China. SHILAP Revista de lepidopterología. 2. 183–191. 4 indexed citations
14.
Liu, Bo, Yi Wang, Shansi Tian, et al.. (2022). Impact of thermal maturity on the diagenesis and porosity of lacustrine oil-prone shales: Insights from natural shale samples with thermal maturation in the oil generation window. International Journal of Coal Geology. 261. 104079–104079. 68 indexed citations
15.
He, Wenyuan, Bo Liu, Mengdi Sun, et al.. (2022). Pore types, genesis, and evolution model of lacustrine oil-prone shale: a case study of the Cretaceous Qingshankou Formation, Songliao Basin, NE China. Scientific Reports. 12(1). 17210–17210. 17 indexed citations
16.
17.
Zhang, Song, Jinxu Liu, Min Yang, et al.. (2018). Effects of multi-component co-addition on reaction characteristics and impact damage properties of reactive material. Materials & Design. 153. 1–8. 34 indexed citations
18.
Wang, Liu, Jinxu Liu, Shukui Li, & Xinbo Zhang. (2015). Insensitive high-energy energetic structural material of tungsten-polytetrafluoroethylene-aluminum composites. AIP Advances. 5(11). 17 indexed citations
19.
Wang, Liu, Jinxu Liu, Shukui Li, & Xinbo Zhang. (2015). Investigation on reaction energy, mechanical behavior and impact insensitivity of W–PTFE–Al composites with different W percentage. Materials & Design. 92. 397–404. 87 indexed citations
20.
Wang, Liu, Dejun Wang, & Tiejin Li. (1987). A STUDY OF HYDROGEN PRODUCTION BY PHOTOCATALYTIC DECOMPOSITION OF LIQUID WATER ON Co<SUB>3</SUB>O<SUB>4</SUB>/SrTiO<SUB>3</SUB>. Acta Physico-Chimica Sinica. 3(2). 123–128. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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